Results 71 to 80 of about 31,619 (193)

Conversion Prediction in Google Search Ads Keyword Selection Using the K-Nearest Neighbor and C4.5 Algorithms

Sistemasi: Jurnal Sistem Informasi
This study was conducted to analyze and compare the effectiveness of two algorithms—K-Nearest Neighbor (K-NN) and C4.5—in predicting keyword conversion on the Google Ads platform.
Muhammad Sya'ban Harahap, Alva Hendi Muhammad   +1 more
doaj   +1 more source

Human Stress Detection Technologies: An In‐Depth Comparison of Machine Learning Algorithms and Applications

The Journal of Engineering, Volume 2026, Issue 1, January/December 2026.
ABSTRACT Workload pressure, examination stress, family responsibilities, and a variety of other factors all contribute to an increase in stress in the body. Stress weakens the human mind and body by accelerating several health disorders. Therefore, the number of approaches for early projection of stress plays a vital role in the healthcare sector ...
Srabanti Maji, Soumen Kanrar, Pooja Gupta, Anurag Sinha, Md. Sazid Reza, G. Madhukar Rao, Shrikant Burje, Agnivesh Kumar Sinha, Sandeep bhad   +8 more
wiley   +1 more source

Selección aleatoria de criterios de división

Serie Científica de la Universidad de las Ciencias Informáticas, 2019
La clasificación es una de las tareas más utilizadas de la minería de datos. Dentro de ella existen numerosos algoritmos como las redes neuronales, k vecinos más cercanos, clasificadores bayesianos entre otros.
Alejandro Giubel Hernández Arbelo, Mailyn Moreno Espino   +1 more
doaj  

Unsupervised Discovery of Phonological Categories through Supervised Learning of Morphological Rules

, 1996
We describe a case study in the application of {\em symbolic machine learning} techniques for the discovery of linguistic rules and categories. A supervised rule induction algorithm is used to learn to predict the correct diminutive suffix given the ...
Berck, Peter, Daelemans, Walter, Gillis, Steven   +2 more
core   +2 more sources

Hellinger Distance Trees for Imbalanced Streams [PDF]

, 2014
Classifiers trained on data sets possessing an imbalanced class distribution are known to exhibit poor generalisation performance. This is known as the imbalanced learning problem.
Brooke, J. M., Knowles, J. D., Lyon, R. J., Stappers, B. W.   +3 more
core   +2 more sources

Status Proses Persalinan Menggunakan Algoritma C4.5

JURNAL MASYARAKAT INFORMATIKA, 2018
Setiap orangtua pasti berusaha yang terbaik untuk persalinan akan berjalan lancar dan dapat melahirkan bayi dengan sempurna. Keberadaan penentuan status proses persalinan menjadi penting untuk mempersiapkan dalam hal kesehatan, dan psikologi. Proses persalinan pada seorang ibu dapat ditempuh secara normal, akan tetapi sering kali terdapat beberapa ...
Mariza Putri Sari Dewi Ningsih, Beta Noranita   +1 more
openaire   +2 more sources

Enhancing Hypertension Risk Diagnosis Using a Hybrid Machine Learning Framework: Leveraging Body Composition Data

BioMed Research International, Volume 2026, Issue 1, 2026.
Hypertension, widely recognized as the “silent killer,” remains a leading cause of cardiovascular, renal, and neurological complications worldwide. This study proposes a dual‐scenario hybrid machine learning framework for hypertension risk prediction using noninvasive body composition features, aimed at enhancing both interpretability and predictive ...
Abdul Wahid Mirzaye, Hamid Saadatfar, Mohammad Ali Nematollahi, Baisakhi Banerjee   +3 more
wiley   +1 more source

Mainstream Artificial Intelligence Technologies in Contemporary Ophthalmology

Advanced Intelligent Systems, Volume 7, Issue 12, December 2025.
This review explores the latest artificial intelligence (AI) technologies in ophthalmology, focusing on four key data types: medical imaging, electronic health records, robotic‐assisted surgery, and genomics. It examines the structural features, use cases, clinical goals, and evaluation metrics of various AI algorithms, while also introducing emerging ...
Shiqi Yin, Lei Wang, Shanjun Wu, Jiewei Jiang, Wei Qiang, Yangyang Wang, Shihong Wang, Yi Shao, Wei Chen, Zhongwen Li   +9 more
wiley   +1 more source

Improved Regression Tree Models Using Generalization Error‐Based Splitting Criteria

Naval Research Logistics (NRL), Volume 72, Issue 8, Page 1097-1116, December 2025.
ABSTRACT Despite the widespread application of machine learning (ML) approaches such as the regression tree (RT) in the field of data‐driven optimization, overfitting may impair the effectiveness of ML models and thus hinder the deployment of ML for decision‐making.
Ying Yang, Shuaian Wang, Gilbert Laporte
wiley   +1 more source

Comparison of the Performance of the C.45 Algorithm with Naive Bayes in Analyzing Book Borrowing at the Library Pringsewu Muhammadiyah University

Jurnal Sisfokom
This study examines the effectiveness of the Naïve Bayes and C4.5 algorithms in analyzing book borrowing patterns at the Pringsewu Muhammadiyah University Library.
Dani Wilian, Sriyanto Sriyanto
doaj   +1 more source